MARC보기
LDR01408nam u200421 4500
001000000483260
00520230213150341
008230117s2022 |||||||||||||||||c||eng d
020 ▼a 9798351448671
035 ▼a (MiAaPQ)AAI29259068
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 004
1001 ▼a Wang, Kangning.
24510 ▼a Approximations for Economic Efficiency and Fairness.
260 ▼a [S.l.]: ▼b Duke University., ▼c 2022.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2022.
300 ▼a 185 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 84-03, Section: A.
500 ▼a Advisor: Munagala, Kamesh.
5021 ▼a Thesis (Ph.D.)--Duke University, 2022.
506 ▼a This item must not be sold to any third party vendors.
590 ▼a School code: 0066.
650 4 ▼a Computer science.
650 4 ▼a Design.
690 ▼a 0984
690 ▼a 0501
690 ▼a 0389
71020 ▼a Duke University. ▼b Computer Science.
7730 ▼t Dissertations Abstracts International ▼g 84-03A.
773 ▼t Dissertation Abstract International
790 ▼a 0066
791 ▼a Ph.D.
792 ▼a 2022
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T16618150 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202302 ▼f 2023
990 ▼a ***1012033
991 ▼a E-BOOK